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DEVELOPMENT OF A QUALITY ASSURANCE FRAMEWORK FOR SIMULATOR DEVELOPMENT: INTEGRATION OF CUTTING-EDGE THEORIES AND BEST PRACTICES (SYSTEMATIC LITERATURE REVIEW 2020–2025) Ekanesti Ruswidia Sari; Heriana
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 5 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i5.4266

Abstract

This study presents a Quality Assurance (QA) framework for simulator development, integrating the theories of Total Quality Management (TQM), ISO 25010, Capability Maturity Model Integration (CMMI), and Agile Quality Assurance. A systematic literature review (SLR) was conducted on peer-reviewed publications and internationally accredited standards in Scopus from 2020 to 2025. The results of the review indicate that QA for simulator development must be multidimensional: user-oriented design, continuous improvement, software reliability, verification and validation (V&V), and data-driven feedback. The proposed QA framework was validated through benchmarking of best practices and the latest industry standards, with the aim of improving the reliability and effectiveness of next-generation simulators.
RESOURCE EFFICIENCY EVALUATION IN FLIGHT CONTROL SIMULATOR DESIGN: A MULTI-FRAMEWORK SYSTEMATIC LITERATURE REVIEW Ekanesti Ruswidia Sari; Heriana
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 4 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i4.4267

Abstract

This article presents a systematic literature review (SLR) of resource efficiency evaluation strategies in the design and development of flight control simulators for combat aircraft, integrating perspectives from Resource Efficiency Theory, Lean Manufacturing, System Dynamics, Optimization, Benchmarking, and Green Engineering. Peer-reviewed publications and industry reports from 2020–2025 were synthesized using PRISMA guidelines. To enhance reproducibility, selection criteria were refined to include studies with empirical results (e.g., quantitative metrics like percentage reductions in time, cost, or energy with reported statistical significance or sample sizes) and/or detailed methodological contributions (e.g., novel algorithms or frameworks with validation). Results indicate that modular frameworks, value stream mapping, dynamic simulation modeling, multi-objective optimization, industrial benchmarking, and sustainable engineering practices have enabled reductions in development time by up to 45%, cost by 30%, and energy consumption by up to 97%. The study highlights continuous improvement, empirical benchmarking, AI integration, and sustainability as essential themes for future research and industrial implementation in flight control simulator development.